Software Engineer - Infrastructure

About the TeamJoin OpenAI's Privacy Engineering team, where we operate at the vital crossroads of Security, Privacy, Legal, and Core Infrastructure. Our mission is to develop cutting-edge data infrastructure and systems that empower our privacy, legal, and security teams to operate securely, swiftly, and at scale. We adhere to principles of defensibility by default, enabling impactful research, and fostering a robust security culture in preparation for transformative technologies.About the RoleWe are seeking a talented Software Engineer to design and implement technical systems that facilitate legal compliance workflows, including secure data processing and document review. In this role, you will collaborate closely with Legal, Security, IT, and engineering teams to translate legal processes into actionable technical workflows. This position is perfect for an engineer passionate about large-scale data challenges and who understands the meticulousness required in ensuring compliance.Located in the vibrant city of San Francisco, we offer relocation assistance for qualified candidates.Key Responsibilities:Design and maintain scalable data storage pipelines.Develop search and discovery services (e.g., Spark/Databricks, index layers, metadata catalogs) tailored to partner team requirements.Automate secure data transfers, including encryption, checksumming, and auditing exports to reviewers.Establish secure compute environments that balance usability with stringent security controls.Implement monitoring and KPIs to ensure accountability of data holds and productions.Work cross-functionally to document SOPs, threat models, and chain-of-custody documentation that can withstand scrutiny.Ideal Candidates Will:Possess practical experience in building or operating large-scale data-lake or backup systems (Azure, AWS, GCP).Be proficient with Terraform or Pulumi, CI/CD processes, and capable of converting ad-hoc legal requests into repeatable pipelines.Be comfortable working with discovery workflows (legal holds, enterprise document collections, secure review) or eager to quickly gain expertise.Effectively communicate technical concepts—from storage governance to block-ID APIs—to interdisciplinary teams such as Legal and Engineering.

Join our dynamic team at OpenAI as a Software Engineer, where you will be instrumental in designing and building robust backend systems that prioritize data privacy and automate compliance processes on a large scale. Collaborating with product, infrastructure, security, and legal teams, you will seamlessly integrate privacy-by-design principles into our data and access layers.This role is ideal for a hands-on engineer with a deep commitment to safeguarding user data while fostering innovation. Your contributions will have a significant impact on how we approach data privacy and compliance.

About Our TeamAt OpenAI, the Privacy Engineering Team plays a pivotal role in embedding privacy as a core principle within our mission to develop Artificial General Intelligence (AGI). Our commitment extends across all OpenAI products and systems that manage user information, ensuring we adhere to the highest standards of data privacy and security.We focus on creating vital production services, pioneering innovative privacy-preserving techniques, and empowering cross-functional engineering and research teams with the tools necessary for responsible data utilization. Our dedication to responsible data management is integral to OpenAI's goal of safely advancing AGI for the benefit of all.About the RoleWe are seeking a passionate Software Engineer with a strong background in developing secure backend systems that prioritize user data protection. This position is ideal for individuals deeply committed to the intersection of product development, privacy, and security.This position is based in San Francisco, with relocation assistance available.In this role, your responsibilities will include:Designing, developing, and implementing backend systems that enhance privacy and security features within our API products and consumer applications.Conducting threat modeling, privacy design reviews, and code assessments to maintain the highest standards of privacy and security.Collaborating with product managers and engineering teams to create innovative products that leverage cutting-edge research while preserving privacy and security integrity.Engaging with the legal team to document and assess internal compliance measures, ensuring alignment with legal standards and conducting comprehensive audits to uphold compliance and integrity.Coordinating and actively participating in privacy incident response initiatives.You will excel in this role if you:Possess extensive experience in building and refining production systems to comply with legal standards while enhancing scalability and privacy safeguards.Have successfully led or contributed significantly to security initiatives, showcasing your ability to collaborate across functions.Demonstrate a strong passion for user privacy and security, ensuring the highest standards are met in all aspects of your work.

About Us:At Ambience, we are not just another scribe; we are pioneers in creating an AI intelligence platform that revitalizes the healthcare experience while delivering significant ROI for health systems nationwide.Our innovative technology allows healthcare providers to concentrate on patient care by alleviating the administrative pressures that distract them from their most crucial responsibilities. We provide real-time, coding-aware documentation and clinical workflow support across various healthcare settings, including ambulatory, emergency, and inpatient environments, serving the most prestigious health systems in North America.We are dedicated to excellence, demonstrating extreme ownership in developing optimal solutions for our health system partners. Our culture is founded on openness, positivity, and deep thinking, and we hold each other to high standards because we recognize the significance of the challenges we are addressing.Ambience has been recognized as the top company for enhancing the clinician experience in the KLAS Research Emerging Solutions Top 20 Report, named one of Fast Company’s Next Big Things in Tech, highlighted by Inc. as one of the best AI companies in healthcare, and designated a LinkedIn Top Startup for 2024 and 2025. We are supported by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we are just getting started.The Role:As a pivotal player in our organization, you will manage systems that safeguard patient information across the country's leading health systems, ensuring that trust is built through effective technical controls rather than mere policies. Your responsibilities will include overseeing access control, audit logging, data retention, and the compliance frameworks enabling us to function within the most security-conscious environments.You will design systems that enforce least-privilege access, develop audit infrastructures capable of withstanding compliance scrutiny, and create data lifecycle pipelines that automatically meet retention obligations. Privacy engineering at Ambience is not merely a compliance requirement; it is a fundamental strategy that allows us to expand into demanding enterprise health systems.This engineering role is hybrid, requiring presence in our San Francisco office three days a week.

Join Pinterest as a Staff Software Engineer specializing in Conversion Data Privacy. In this pivotal role, you will lead the development of innovative solutions that enhance user privacy while supporting our conversion processes. You will collaborate with cross-functional teams to design, implement, and maintain systems that ensure compliance with data privacy regulations and foster user trust.As a key member of our engineering team, you will leverage your expertise in software development and data management to drive projects that have a significant impact on Pinterest's growth and user engagement.

P-1125SummaryAt Databricks, we are dedicated to empowering data teams to tackle some of the world's most pressing challenges, from detecting security threats to advancing cancer drug research. We achieve this by developing and maintaining a world-class data and AI infrastructure platform, allowing our clients to concentrate on the high-impact issues that are vital to their missions.Our engineering teams create sophisticated products that address real and significant needs. We continuously strive to push the frontiers of data and AI technology while ensuring resilience, security, and scalability that are essential for our customers' success on our platform.Our clients entrust Databricks with their most sensitive data, and the Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. Security Engineering plays a key role in Trust & Safety by safeguarding customer data from malicious threats. We are seeking senior leaders like you to shape the vision and strategy in this crucial area.

About UsAt Sierra, we are revolutionizing the way businesses engage with their customers by building a cutting-edge platform that harnesses the power of AI. Our headquarters is located in the vibrant city of San Francisco, with additional offices expanding in Atlanta, New York, London, France, Singapore, and Japan.Our company culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and foster an environment where innovation thrives.Sierra was co-founded by visionary leaders Bret Taylor, who currently serves as the Board Chair of OpenAI and has a rich history with Salesforce and Facebook, and Clay Bavor, who previously led Google Labs and spearheaded initiatives like Google Lens and Project Starline.Your RoleAs a Software Engineer focusing on Infrastructure at Sierra, you will play a pivotal role in designing, constructing, and maintaining the foundational systems that empower our AI platform. Your expertise will ensure that our infrastructure is not only secure and reliable but also scalable, allowing product teams to execute their work with agility and confidence.Guarantee the reliability, scalability, and performance of our platform and LLM inference serving in response to increasing traffic demands.Develop and oversee cloud infrastructure using Terraform to create secure, scalable, and reproducible environments.Establish and manage a self-service infrastructure platform to empower engineering teams in deploying and operating services independently.Take ownership of and improve CI/CD pipelines and release management processes, facilitating rapid and reliable deployments across Sierra’s platform.Design and manage distributed systems utilizing distributed databases, retrieval systems, and machine learning models.Develop and sustain core data serving abstractions along with essential authentication and security features (SSO, RBAC, authentication controls).Effectively navigate and integrate our technology stack with enterprise customer environments in a scalable and maintainable manner.

At Exa, we are on a mission to create a cutting-edge search engine from the ground up, designed to cater to the diverse needs of AI applications. Our team is building a robust infrastructure that enables us to crawl the internet, train advanced embedding models for indexing, and develop high-performance vector databases using Rust. Additionally, we manage a significant $5M H200 GPU cluster that powers tens of thousands of machines.The Infrastructure Team at Exa is responsible for developing the essential tools and infrastructure that support our entire system. We are looking for talented infrastructure engineers to help us scale our capabilities rapidly. Your work could involve orchestrating GPU clusters with Kubernetes, implementing map-reduce batch jobs on Ray, or creating top-tier observability tools that set industry standards.

About Our TeamJoin the Privacy Engineering Team at OpenAI, where we are dedicated to embedding privacy as a core principle within our mission to develop Artificial General Intelligence (AGI). We focus on ensuring that all OpenAI products and systems that process user data adhere to the highest standards of privacy and security.Our team engineers essential production solutions, innovates privacy-preserving methodologies, and provides cross-functional engineering and research teams with the tools necessary for responsible data management. Our commitment to ethical data utilization is a cornerstone of OpenAI's vision for safely advancing AGI for the benefit of everyone.About the PositionAs a valued member of the Privacy Engineering Team, you will be instrumental in protecting user data while enhancing the usability and effectiveness of our AI systems. You will engage with cutting-edge research on privacy-enhancing technologies, including differential privacy, federated learning, and data memorization techniques. Your role will also entail exploring the intersection of privacy and machine learning, innovating methods for better data anonymization, and mitigating risks associated with model inversion and membership inference attacks.This position is based in San Francisco, and we offer relocation assistance.Key Responsibilities:Design and prototype scalable privacy-preserving machine learning algorithms (e.g., differential privacy, secure aggregation, federated learning) for deployment at OpenAI.Evaluate and enhance model resilience against privacy threats such as membership inference, model inversion, and data memorization leaks, ensuring a balance between utility and security assurances.Create internal libraries, evaluation frameworks, and documentation to make advanced privacy techniques accessible to engineering and research teams.Conduct comprehensive investigations into the privacy-performance trade-offs of large models, sharing findings that guide model training and product safety protocols.Establish and document privacy standards, threat models, and audit procedures to govern the entire machine learning lifecycle, from dataset curation to post-deployment oversight.Work collaboratively with Security, Policy, Product, and Legal teams to translate evolving regulatory frameworks into actionable technical safeguards and tools.

Who We AreServal is an innovative AI-driven automation platform redefining operational efficiency for enterprises. Our intelligent agents seamlessly comprehend and execute real-world workflows, replacing outdated manual processes with adaptive, self-learning software. Since our inception in early 2024, we have garnered the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, streamlining high-volume operational tasks across their organizations.At the heart of Serval is a cutting-edge agentic AI platform that transforms natural language into actionable workflows. Our agents not only respond to queries but also reason, act across various systems, and continuously enhance their performance. What started as a solution for operational tasks has rapidly expanded into a versatile AI automation layer utilized across IT, HR, Finance, Security, Legal, and Engineering sectors.Our mission is to eradicate repetitive, manual tasks within enterprises, empowering teams through intelligent automation. In the long run, we aim to establish a universal AI operations layer—a system of agents that integrates across business functions, maintaining the momentum of modern companies.We are proud to be backed by renowned investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, and Elad Gil, and founded by seasoned product and engineering leaders from Verkada.Role OverviewAs a Senior Software Engineer in Infrastructure at Serval, you will be pivotal in developing and scaling the core systems that empower our AI agents and workflow automation platform. A crucial aspect of this role involves enabling and supporting self-hosted deployments for enterprise clients needing on-premises or private cloud environments. We are looking for engineers with profound expertise in distributed systems, infrastructure-as-code, production operations, and customer-facing support, who aspire to influence the technical architecture of a rapidly evolving platform.What You'll DoDesign, implement, and operate large-scale distributed systems that power Serval's AI agents, workflow orchestration, and data pipelines.Create and maintain Terraform modules to provision and manage cloud infrastructure across AWS, GCP, or Azure environments.Develop and sustain deployment packages, installation scripts, and infrastructure templates, enabling customers to self-host Serval in their own environments.Provide technical support and guidance to enterprise customers during installation and deployment phases.

About UsAt Imprint, we are revolutionizing the world of co-branded credit cards and innovative financial solutions, focusing on smarter, more rewarding, and brand-first experiences. We collaborate with renowned brands such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to establish modern credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our robust platform integrates advanced payment technologies, intelligent underwriting, and a seamless user experience, enabling brands to offer impactful financial products without the complexities of becoming a bank.Co-branded credit cards represent over $300 billion in U.S. annual spending, yet many are still managed by outdated banking systems. Imprint stands as the modern alternative—flexible, technology-driven, and tailored for today’s consumers. Supported by notable investors like Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team dedicated to reshaping payment methods and driving brand growth. If you thrive in fast-paced environments, enjoy tackling complex challenges, and aspire to make a significant impact, we would be delighted to meet you.Discover more about us on Imprint's Technology Blog.The TeamThe Tech Platform Engineering Team at Imprint is pioneering the democratization of access to advanced technologies, empowering teams across our organization to innovate and excel. Our commitment to redefining the Fintech landscape drives us to build secure, highly available infrastructures while equipping our engineers with comprehensive development tools, allowing them to rapidly create world-class products.Your RoleDesign, build, and manage cloud and web infrastructure with a strong emphasis on security, reliability, and scalability.Implement and maintain infrastructure components across computing, networking, and data platforms.Adhere to security best practices in cloud infrastructure, ensuring proper access control, network isolation, and secure communication between services.Monitor system health and engage in incident response, root cause analysis, and reliability enhancements.Collaborate with platform, security, and product engineers to deliver safe and efficient infrastructure solutions.

About the RoleJoin our pioneering team at vooma as a Backend & Infrastructure Software Engineer, where you will play a critical role in shaping the technical infrastructure of a transformative company.If you are passionate about creating not only resilient systems but also the foundational architecture of a groundbreaking enterprise from the outset, this position is ideal for you.We are looking for someone who excels at crafting infrastructure that is elegant, dependable, and secure, even under high-demand scenarios. You thrive on the challenge of scaling systems that enable intelligent agents and take pride in establishing reliable foundations that others can rely on.Your Key Responsibilities Include:Design and maintain secure, scalable infrastructure tailored for AI-powered agents in production environments.Deploy and optimize AI-driven services to meet high availability and performance standards.Manage infrastructure as code, alongside cloud environments and CI/CD pipelines.Implement monitoring, observability, and alerting systems to ensure the reliability of our infrastructure.Contribute to infrastructure security and adhere to best practices.You Should Have:Experience in deploying and productionizing machine learning or AI-centric workloads.Proficiency in developing secure, scalable infrastructures on platforms such as AWS, Azure, or GCP.In-depth knowledge of backend systems, networking, and container orchestration technologies (e.g., Kubernetes).Understanding of infrastructure security principles and compliance standards (e.g., SOC2).A proactive and hands-on mindset, with a strong drive to solve challenges from start to finish.

ABOUT BASETENJoin Baseten, where we drive mission-critical AI inference for leading companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. Our unique blend of applied AI research, robust infrastructure, and intuitive developer tools empowers organizations at the forefront of AI innovation to deploy state-of-the-art models into production. Recently, we secured a $300M Series E funding round, backed by esteemed investors such as BOND, IVP, Spark Capital, Greylock, and Conviction. Be a part of our rapid growth and help shape the platform that engineers trust for launching AI products.THE ROLEAs an Infrastructure Software Engineer at Baseten, you will play a pivotal role in developing and maintaining our ML inference platform that powers AI applications in production. Your contributions will enhance the core infrastructure, enabling developers to deploy, scale, and monitor machine learning models with exceptional performance.EXAMPLE INITIATIVESYou will engage in innovative projects within our Infrastructure team, including:Multi-cloud capacity managementInference on B200 GPUsMulti-node inferenceFractional H100 GPUs for efficient model servingRESPONSIBILITIESDesign and develop infrastructure components for our ML inference platform, primarily using Python and Go.Implement and maintain Kubernetes deployments for optimal model serving.Contribute to the orchestration layer for model deployments.Build and enhance monitoring systems to track model performance metrics effectively.Develop efficient resource management solutions to optimize performance.

At Sift, we are revolutionizing the way cutting-edge machines are constructed, tested, and managed. Our innovative platform provides engineers with real-time visibility into high-frequency telemetry, effectively removing bottlenecks and facilitating quicker, more dependable development.Sift originated from our experience at SpaceX, contributing to projects like Dragon, Falcon, Starlink, and Starship, where the demands of scaling telemetry, debugging flight systems, and ensuring mission reliability necessitated a new kind of infrastructure. Founded by a talented team from SpaceX, Google, and Palantir, Sift is tailored for mission-critical systems where precision and scalability are imperative.As one of the pioneering engineers at Sift, your role will extend beyond just coding—you will play a crucial part in defining the architecture, shaping the product, and influencing the culture of a company dedicated to addressing real engineering challenges. If you're eager to take on intricate technical obstacles and build foundational systems that support complex machines from the ground up, we would love to connect with you.

Join Ivo's Engineering Team!At Ivo, we are pioneers in the tech industry. Our engineers are innovators who have created groundbreaking solutions such as:• An AI agent that seamlessly integrates with MS Word to enhance document editing [2023]• Revolutionizing embedding models with agentic RAG technology [2023]• Advanced LLM-based legal fact extraction capabilities [2024]• A legal assistant designed to search extensive contract databases without compromising accuracy [2024]• Clustering legal documents from the same lineage [2025]• Automatic deviation analysis to uncover hidden risks in vast contract databases [2025]• Merging contracts with their amendments to create a “composite” contract timeline that has moved our clients to tears [2025]Role OverviewAs an Infrastructure Engineer at Ivo, you will lay the groundwork for our platform's future. Your responsibilities will include:• Designing and owning the future of our infrastructure, allowing you the freedom to innovate.• Managing multiple customer deployments, ensuring each receives tailored containers, databases, and VPCs.• Instrumenting our systems to identify performance bottlenecks and errors.• Aggregating metrics and logs into visually appealing dashboards and setting up pager alerts.• Leading infrastructure-related incidents and being on-call as necessary.• Enhancing our CI/CD system to reduce deployment time from ~12 minutes.If you're passionate about LLMs, you'll thrive in our engineering team, where you’ll have the opportunity to:• Develop real-time LLM evaluations to monitor the accuracy of our responses.• Collaborate with talented engineers to push the boundaries of DevOps.

About Engineering at Ivo Inc. Ivo Inc. builds advanced legal technology from its San Francisco base. The engineering team has delivered several notable products, including: An AI agent for Microsoft Word that edits documents automatically (2023) Migration from traditional embedding models to agentic RAG methods (2023) Large-scale legal fact extraction powered by LLMs (2024) A legal assistant designed to search large contract databases with precision (2024) Clustering related legal documents to improve organization (2025) Automated deviation analysis to surface hidden risks in contract data (2025) Combining contracts and amendments to create comprehensive contract time series (2025) Role Overview: Infrastructure Software Engineer The Infrastructure Software Engineer will help shape the core systems that power Ivo's platform. This role offers the chance to architect, optimize, and maintain the infrastructure supporting sensitive client data and high-performance legal applications. What You Will Do Own and influence the evolution of Ivo's infrastructure, with significant freedom to design systems due to a lean operational footprint. Orchestrate customer deployments, managing containers, databases, and VPCs for each client to ensure data isolation and security. Implement instrumentation to surface performance bottlenecks and errors across the stack. Aggregate metrics, logs, and health checks into dashboards and alerting systems for clear visibility. Participate in on-call rotations to lead and resolve infrastructure incidents. Optimize CI/CD pipelines to reduce deployment times (current average: 12 minutes). Opportunities to Advance DevOps and LLM Integration Develop real-time LLM evaluations to track output accuracy. Create autonomous agents that identify and troubleshoot production issues proactively. Bring forward new ideas to improve infrastructure and operations. Mission Ivo's mission is to empower clients with advanced legal technology that boosts efficiency and accuracy.

Join Our Innovative TeamThe Applied Engineering team at OpenAI is dedicated to bridging the gap between research, engineering, product, and design, delivering cutting-edge AI technology to consumers and businesses alike.As a pivotal member of our team, you will manage the core infrastructure that underpins products such as ChatGPT and our API. This includes overseeing our Kubernetes clusters, infrastructure deployment, networking stack, cloud abstractions, and more.Our mission is to learn from our deployments and ensure the responsible and safe use of AI technology. We place a higher priority on safety than on unchecked growth.About Your RoleAs a vital contributor to the cloud infrastructure team, you'll be responsible for constructing and maintaining infrastructure abstractions that facilitate swift and scalable product delivery.This position is based in our San Francisco, CA office.Your Responsibilities:Architect and develop robust development and production platforms that ensure reliability and security at scale.Optimize our infrastructure for scalability to meet future demands.Foster a diverse, equitable, and inclusive work culture that encourages open communication and challenges conventional thinking.Participate in an on-call rotation to maintain the reliability of the systems we build and respond to critical incidents as necessary.You Will Excel in This Position If You:Possess over 5 years of experience in building core infrastructure.Have extensive experience with orchestration systems such as Kubernetes at scale.Are skilled in creating abstractions over cloud platforms.Take pride in developing and managing scalable, reliable, and secure systems.Thrive in environments characterized by ambiguity and rapid change.This role is exclusively located at our San Francisco headquarters. We offer relocation assistance to qualified candidates.

Netic is revolutionizing the essential services sector with our AI-driven revenue engine, empowering the backbone of the American economy.With $43M in funding from leading investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we have enabled our clients to secure hundreds of thousands of jobs across various service industries in North America. Today, numerous companies thrive entirely on an AI-first model powered by Netic.As a member of our team consisting of innovative builders from top organizations such as Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard, you will be at the forefront of integrating frontier AI into the physical economy, where challenges are complex, data is intricate, and impacts are immediate and substantial.In the role of a founding Product Infrastructure Engineer, you will design and scale the crucial infrastructure that supports our autonomous AI agents, addressing real-world challenges with significant, tangible outcomes. You will work alongside a passionate team of builders to develop infrastructure and processes from scratch, utilizing state-of-the-art cloud and orchestration technologies. If you excel in dynamic, ambiguous settings and are eager to set new benchmarks in the agentic domain, this is your chance to make a lasting impact.

About Chai DiscoveryChai Discovery specializes in developing cutting-edge AI models that revolutionize molecular design and redefine drug discovery processes. Our passionate team is dedicated to transforming the search for new cures and improving lives.Our founding team comprises top researchers and Silicon Valley experts, having achieved significant milestones in AI for biology. With a history of co-inventing protein language modeling and creating advanced folding algorithms, our technology has been embraced by leading pharmaceutical companies. We are proud to be supported by prestigious investors including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and others.About the RoleWe are seeking a dedicated Infrastructure Software Engineer focused on crafting robust, streamlined infrastructure solutions. You will develop the foundational compute and infrastructure systems that support our product offerings, model inference processes, and evaluation frameworks. Collaboration with product engineers, researchers, and our commercial team will be key to your success.You will have experience creating services that developers appreciate, successfully deploying and scaling AI/ML systems in production, and effectively anticipating potential challenges that may hinder the adoption of our platform by leading biopharmaceutical organizations.As Chai's models advance from protein structure prediction into practical therapeutic engineering, this role presents a unique opportunity to bring state-of-the-art AI drug design models to market, working alongside a team that is both detail-oriented and optimistic about the future.About YouYou are motivated by a mission to establish the benchmark for impactful AI technology. We are looking for candidates who possess:Software Experience:A Bachelor’s degree or equivalent experience in Computer Science or a related field.5+ years of experience in building production systems utilizing contemporary tools, collaborating with platform, security, and product teams.A keen ability to foresee infrastructure challenges.Comprehensive ownership of 24/7 infrastructure observability, alerting, and incident response.Experience in both 0-to-1 buildouts and 1-to-n scale-ups, along with a rich repository of best practices and strategies.Communication & Collaboration:A passion for code pair-reviewing, documentation, and knowledge sharing with peers.